Paper Review/Motion Planning (7) 썸네일형 리스트형 [Paper Review] 2022_[T-RO]Geometrically constrained trajectory optimization for multicopters IV. M ULTI -S TAGE C ONTROL E FFORT M INIMIZATION video1: https://www.youtube.com/watch?v=pQ4oSf1rdBU vidoe2: https://www.youtube.com/watch?v=QQS0AM3iOmc github: https://github.com/ZJU-FAST-Lab/GCOPTER GitHub - ZJU-FAST-Lab/GCOPTER: A General-Purpose Trajectory Optimizer for Multicopters A General-Purpose Trajectory Optimizer for Multicopters - GitHub - ZJU-FAST-Lab/GCOPTER: A General-Purpose Tr.. [Code Review] 2023_[T-ITS]An Efficient Spatial-Temporal Trajectory Planner forAutonomous Vehicles in Unstructured Environments park.cc (main 문) traj_server_ros.cpp traj_manager.cpp kino_aster.cpp traj_optimizer.cpp s1 = 0.0; s2 = s1 * s1; s3 = s2 * s1; s4 = s2 * s2; s5 = s4 * s1; beta0 [Paper Review] 2023_[T-ITS]An Efficient Spatial-Temporal Trajectory Planner forAutonomous Vehicles in Unstructured Environments - video: https://www.youtube.com/watch?v=X0V0bGuMsGg - github: https://github.com/ZJU-FAST-Lab/Dftpav GitHub - ZJU-FAST-Lab/Dftpav: A lightweight differential flatness-based trajectory planner for car-like robots A lightweight differential flatness-based trajectory planner for car-like robots - GitHub - ZJU-FAST-Lab/Dftpav: A lightweight differential flatness-based trajectory planner for car-lik.. [Paper Review] 2023_[IROS]Decentralized Planning for Car-Like Robotic Swarm in Unstructured Environments Youtube (FAST-Lab): https://www.youtube.com/watch?v=qdYr3BKHsdM Github (FAST-Lab): https://github.com/ZJU-FAST-Lab/Car-like-Robotic-swarm?tab=readme-ov-file GitHub - ZJU-FAST-Lab/Car-like-Robotic-swarm: Source code for the decentralized car-like robotic swarm Source code for the decentralized car-like robotic swarm - GitHub - ZJU-FAST-Lab/Car-like-Robotic-swarm: Source code for the decentralized.. [Paper Review] 2024_[RAL]Collaborative Planning for Catching and Transporting Objects in Unstructured Environments Video: https://www.bilibili.com/video/BV1Cw411x7Wx/?spm_id_from=333.999.0.0 Collaborative Planning for Catching and Transporting Objects in Unstructured ..._哔哩哔哩_bilibili Video for the RAL submission. Title: Collaborative Planning for Catching and Transporting Objects in Unstructured Environments Preprint: https://arxiv.org/abs/2311.07100 BGM: Diamond - Klint （盖里奇导演的《Snatch》的片头曲） www.bilibili.co.. [Paper Review] 2022_[ICRA]Fast and Optimal Trajectory Planning for Multiple Vehicles in a Nonconvex and Cluttered Environment: Benchmarks, Methodology, and Experiments Video: https://www.bilibili.com/video/BV1k3411q78m/ Github: https://github.com/libai1943/MVTP_benchmark 【ICRA 2022】复杂非结构化场景中多车协同轨迹规划方法_哔哩哔哩_bilibili Yakun Ouyang, Bai Li, Youmin Zhang, et al., “Fast and optimal trajectory planning for multiple vehicles in a nonconvex and cluttered environment: Benchmarks, methodology, and experiments,” 2021 IEEE International Conference on Robotics and Automatio.. [Paper Review] 2022_[RA-L]Hierarchical planning through goal-conditioned offline reinforcement learning Abstract 정리 Offline RL 특징 have potent in many safe-critical tasks in robotics where exploration is risky and expensive. (로봇 같은 경우 exploration을 잘못하다가 하드웨어 등이 손상이 갈 수 있기 때문) still struggles to acquire skills in temporally extened tasks. (temporally exteded task가 뭐지??) 이 논문 특징 temporally extended tasks를 위해 사용. hierarchical planning framework 사용 (low-level goal-conditioned RL policy와 high-level goal.. 이전 1 다음
